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  <channel>
    <title>Lyan</title>
    <link>https://lulietlyan.github.io</link>
    <description>Notes on computer networks, operating systems, MySQL, Redis, message queues, Golang, AI agents, and projects.</description>
    <language>en</language>
    <item>
      <title>Computer Network</title>
      <link>https://lulietlyan.github.io/topics/computer-network</link>
      <guid>https://lulietlyan.github.io/topics/computer-network</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>TCP/IP、连接管理、可靠传输与 HTTP 应用层</description>
    </item>
    <item>
      <title>关于 HTTP 首部字段</title>
      <link>https://lulietlyan.github.io/topics/computer-network/http-header-fields</link>
      <guid>https://lulietlyan.github.io/topics/computer-network/http-header-fields</guid>
      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <description>梳理 HTTP 首部字段的常见用途，涵盖内容协商、缓存、跨源访问、反向代理与请求追踪。</description>
    </item>
    <item>
      <title>Operating System</title>
      <link>https://lulietlyan.github.io/topics/operating-system</link>
      <guid>https://lulietlyan.github.io/topics/operating-system</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>进程与并发、虚拟内存、I/O 多路复用与死锁等操作系统笔记。</description>
    </item>
    <item>
      <title>select、poll、epoll 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/select-poll-epoll</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/select-poll-epoll</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>从数据结构、拷贝成本、就绪通知方式与规模扩展性，对比三种经典 I/O 多路复用接口。</description>
    </item>
    <item>
      <title>epoll 的水平触发和边缘触发有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/epoll-lt-et</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/epoll-lt-et</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>说明 LT 与 ET 的通知条件、读写循环要求，以及为何 ET 常配合非阻塞 I/O。</description>
    </item>
    <item>
      <title>epoll 高效的核心原因是什么？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/epoll-efficiency</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/epoll-efficiency</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>从内核事件表、就绪队列和“只处理就绪集合”说明 epoll 相对 select/poll 的关键优势。</description>
    </item>
    <item>
      <title>malloc 底层用什么系统调用？大小内存一样吗？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/malloc-brk-mmap</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/malloc-brk-mmap</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>说明 glibc 等常见实现里小块走 brk/sbrk 堆扩展、大块常走 mmap，以及阈值策略差异。</description>
    </item>
    <item>
      <title>mmap 是什么？常见用途有哪些？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/mmap</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/mmap</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释内存映射把文件或匿名页映射进进程地址空间的机制，以及文件映射、匿名映射与共享的基本差别。</description>
    </item>
    <item>
      <title>什么是内存对齐（字节对齐）？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/memory-alignment</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/memory-alignment</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>说明对齐的目的、自然对齐规则，以及它对结构体大小、性能和原子访问的影响。</description>
    </item>
    <item>
      <title>这个结构体在 32 位系统上占多少字节？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/struct-sizeof-padding</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/struct-sizeof-padding</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>按常见 32 位 ABI 逐步计算含 padding 的结构体大小，并解释为何结果是 20 字节。</description>
    </item>
    <item>
      <title>死锁成立的条件是什么？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/deadlock-conditions</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/deadlock-conditions</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>说明死锁的四个必要条件：互斥、占有并等待、不可抢占、循环等待。</description>
    </item>
    <item>
      <title>怎么预防和解决死锁？</title>
      <link>https://lulietlyan.github.io/topics/operating-system/deadlock-prevention</link>
      <guid>https://lulietlyan.github.io/topics/operating-system/deadlock-prevention</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>从破坏死锁四条件出发，说明预防、避免、检测恢复，以及工程上常用的加锁次序与超时策略。</description>
    </item>
    <item>
      <title>SQL</title>
      <link>https://lulietlyan.github.io/topics/SQL</link>
      <guid>https://lulietlyan.github.io/topics/SQL</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>Notes on SQL, indexes, transactions and so on.</description>
    </item>
    <item>
      <title>MySQL</title>
      <link>https://lulietlyan.github.io/topics/SQL/MySQL</link>
      <guid>https://lulietlyan.github.io/topics/SQL/MySQL</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>A source-guided deep dive into MySQL internals, covering storage engines, B+Tree indexes, transactions, locks, MVCC, concurrency control, query execution, and performance optimization.</description>
    </item>
    <item>
      <title>MySQL 与 Redis 如何保证缓存一致性？</title>
      <link>https://lulietlyan.github.io/topics/SQL/MySQL/mysql-redis-cache-consistency</link>
      <guid>https://lulietlyan.github.io/topics/SQL/MySQL/mysql-redis-cache-consistency</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>面试视角拆解 Cache Aside、并发脏写、删除失败补偿、延迟双删、Outbox 与 Binlog CDC，以及强一致性的边界。</description>
    </item>
    <item>
      <title>Redis</title>
      <link>https://lulietlyan.github.io/topics/redis</link>
      <guid>https://lulietlyan.github.io/topics/redis</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>Notes on data structures, persistence, replication, and caching.</description>
    </item>
    <item>
      <title>Redis 的数据类型与底层数据结构</title>
      <link>https://lulietlyan.github.io/topics/redis/redis-data-structures</link>
      <guid>https://lulietlyan.github.io/topics/redis/redis-data-structures</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>区分 Redis 对外数据类型和内部编码，梳理 String、Hash、List、Set、ZSet、Stream 等结构的实现、复杂度与使用场景。</description>
    </item>
    <item>
      <title>Redis 如何用跳表实现 ZSet？</title>
      <link>https://lulietlyan.github.io/topics/redis/redis-zset-skiplist</link>
      <guid>https://lulietlyan.github.io/topics/redis/redis-zset-skiplist</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>从节点层级、查找与插入路径、跨度排名、字典辅助索引和 Listpack 编码解释 Redis Sorted Set 的实现。</description>
    </item>
    <item>
      <title>Message Queue</title>
      <link>https://lulietlyan.github.io/topics/message-queue</link>
      <guid>https://lulietlyan.github.io/topics/message-queue</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>Notes on async work, load shedding, and delivery semantics.</description>
    </item>
    <item>
      <title>Golang</title>
      <link>https://lulietlyan.github.io/topics/golang</link>
      <guid>https://lulietlyan.github.io/topics/golang</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>Notes on the language, concurrency, the standard library, and engineering.</description>
    </item>
    <item>
      <title>Go 的垃圾回收机制</title>
      <link>https://lulietlyan.github.io/topics/golang/go-garbage-collection</link>
      <guid>https://lulietlyan.github.io/topics/golang/go-garbage-collection</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>从三色标记、写屏障和并发标记清扫出发，解释 Go GC 的完整周期、触发条件、成本模型与调优方法。</description>
    </item>
    <item>
      <title>标记清扫产生内存碎片后，Go 如何分配大对象？</title>
      <link>https://lulietlyan.github.io/topics/golang/go-gc-fragmentation-and-large-objects</link>
      <guid>https://lulietlyan.github.io/topics/golang/go-gc-fragmentation-and-large-objects</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>区分内部碎片与外部碎片，解释 Go 的 Size Class、Span、页分配和大对象路径，以及大块内存申请失败时的工程处理。</description>
    </item>
    <item>
      <title>Go 的 GMP 调度模型</title>
      <link>https://lulietlyan.github.io/topics/golang/go-gmp-scheduler</link>
      <guid>https://lulietlyan.github.io/topics/golang/go-gmp-scheduler</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释 Goroutine、操作系统线程和逻辑处理器如何协作，以及运行队列、工作窃取、网络轮询、系统调用和抢占调度。</description>
    </item>
    <item>
      <title>Projects</title>
      <link>https://lulietlyan.github.io/topics/projects</link>
      <guid>https://lulietlyan.github.io/topics/projects</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>个人项目的开发记录，包括项目背景、功能设计、技术实现和更新情况。</description>
    </item>
    <item>
      <title>Mini-Ollama</title>
      <link>https://lulietlyan.github.io/topics/projects/mini-ollama</link>
      <guid>https://lulietlyan.github.io/topics/projects/mini-ollama</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>基于 Go、Cobra、Gin 和 llama.cpp 的本地 GGUF 模型命令行工具。</description>
    </item>
    <item>
      <title>Mini-Ollama-环境准备</title>
      <link>https://lulietlyan.github.io/topics/projects/mini-ollama/01-environment</link>
      <guid>https://lulietlyan.github.io/topics/projects/mini-ollama/01-environment</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>构建 llama.cpp 的 llama-server、初始化 Go 项目并检查 CUDA 后端。</description>
    </item>
    <item>
      <title>Mini-Ollama-命令行</title>
      <link>https://lulietlyan.github.io/topics/projects/mini-ollama/02-cmd</link>
      <guid>https://lulietlyan.github.io/topics/projects/mini-ollama/02-cmd</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>使用 Cobra 注册命令、解析参数，并启动本地模型服务。</description>
    </item>
    <item>
      <title>Mini-Ollama-服务与 HTTP API</title>
      <link>https://lulietlyan.github.io/topics/projects/mini-ollama/03-service-api</link>
      <guid>https://lulietlyan.github.io/topics/projects/mini-ollama/03-service-api</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>说明 serve 模式的模型调度、聊天记录和 HTTP 接口。</description>
    </item>
    <item>
      <title>Mini-Ollama-模型目录与 Hugging Face 导入</title>
      <link>https://lulietlyan.github.io/topics/projects/mini-ollama/04-models-and-import</link>
      <guid>https://lulietlyan.github.io/topics/projects/mini-ollama/04-models-and-import</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>说明 GGUF 模型目录、manifest 校验和 Hugging Face 导入流程。</description>
    </item>
    <item>
      <title>PseudoClaude</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>A source-guided series on PseudoClaude's terminal runtime, model and tool ecosystem, context lifecycle, security boundaries, and multi-agent collaboration.</description>
    </item>
    <item>
      <title>从 main.go 看 PseudoClaude 的整体架构</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/01-project-architecture</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/01-project-architecture</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude assembles its TUI, runner, tools, state services, and security modules from the main process entry point.</description>
    </item>
    <item>
      <title>Bubble Tea 状态机：TUI 如何驱动 Agent 交互</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/02-tui-state-machine</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/02-tui-state-machine</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude turns user input, runner events, streaming output, and permission approvals into a Bubble Tea terminal state machine.</description>
    </item>
    <item>
      <title>ReAct 执行循环：模型、工具与结果如何闭环</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/03-react-agent-loop</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/03-react-agent-loop</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <description>How the PseudoClaude runner closes the ReAct loop across model streaming, tool calls, result feedback, and stop conditions.</description>
    </item>
    <item>
      <title>Tool 系统：从模型契约到受控执行</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/04-tool-system</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/04-tool-system</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude unifies tool definitions, registration, visibility filtering, execution routing, and structured error results.</description>
    </item>
    <item>
      <title>上下文与记忆：四种状态的生命周期</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/05-context-and-memory</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/05-context-and-memory</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <description>How Conversation, Session, Compact, and Memory divide responsibility for PseudoClaude's short- and long-lived context state.</description>
    </item>
    <item>
      <title>安全边界：权限引擎与 Plan Mode</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/06-plan-mode-security</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/06-plan-mode-security</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude combines prompts, tool filtering, runtime validation, and permission rules to constrain side effects in Plan Mode.</description>
    </item>
    <item>
      <title>Provider 抽象：归一不同模型的流式协议</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/07-provider-stream-events</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/07-provider-stream-events</guid>
      <pubDate>Sun, 30 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude normalizes messages, tool calls, streaming, usage, cancellation, and errors across Anthropic and OpenAI providers.</description>
    </item>
    <item>
      <title>MCP 工具桥接：一个远端工具如何走进 Agent</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/08-mcp-tool-bridge</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/08-mcp-tool-bridge</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude turns a configured MCP server into a model-visible tool and routes each call back to the remote session.</description>
    </item>
    <item>
      <title>Skill 渐进披露：按需加载 SOP 与专用工具</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/09-skill-progressive-disclosure</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/09-skill-progressive-disclosure</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude exposes compact skill metadata first, then loads full SOP content and specialized tools only when requested.</description>
    </item>
    <item>
      <title>会话持久化：JSONL 日志如何写入与恢复</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/10-session-jsonl-recovery</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/10-session-jsonl-recovery</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude persists messages and replacement snapshots in JSONL and replays them into a valid conversation after restart.</description>
    </item>
    <item>
      <title>分层指令：项目与用户规则如何进入 System Prompt</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/11-layered-instructions</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/11-layered-instructions</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude loads layered PSEUDOCLAUDE.md files, expands relative references safely, and builds a stable system prompt.</description>
    </item>
    <item>
      <title>长期记忆：如何异步提取跨会话知识</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/12-async-long-term-memory</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/12-async-long-term-memory</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude asynchronously extracts structured memory operations and updates project and user stores without blocking the active turn.</description>
    </item>
    <item>
      <title>长上下文治理：Tool Result 落盘与历史摘要</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/13-two-stage-context-compaction</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/13-two-stage-context-compaction</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude spills large tool results to disk and summarizes older history near the context limit while preserving recent tool-call closure.</description>
    </item>
    <item>
      <title>危险命令防线：黑名单如何检查 Tool Call</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/14-dangerous-command-guard</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/14-dangerous-command-guard</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude normalizes run_command arguments and hard-denies known destructive patterns before configurable rules and permission modes.</description>
    </item>
    <item>
      <title>路径沙箱：如何把文件工具限制在工作区</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/15-workspace-path-sandbox</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/15-workspace-path-sandbox</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude resolves file targets, symlinks, and not-yet-created paths before rejecting access outside the active workspace.</description>
    </item>
    <item>
      <title>分层权限规则：匹配、优先级与授权持久化</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/16-layered-permission-rules</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/16-layered-permission-rules</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude evaluates session, local, project, and user permission rules before applying mode fallbacks and reusable approvals.</description>
    </item>
    <item>
      <title>交互审批：Ask 如何往返 Agent 与 TUI</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/17-interactive-approval-flow</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/17-interactive-approval-flow</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude turns an Ask decision into a blocking Agent-to-TUI approval round trip and returns scoped authorization to tool execution.</description>
    </item>
    <item>
      <title>Plan Mode：工具定义与执行阶段的双重只读</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/18-plan-mode-double-guard</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/18-plan-mode-double-guard</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude constrains Plan Mode through prompts, read-only tool definitions, and a second runtime safety check before execution.</description>
    </item>
    <item>
      <title>Agent 委派：Fork 与预定义子 Agent 如何分工</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/19-agent-delegation-models</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/19-agent-delegation-models</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude routes Agent tool calls into conversation forks or predefined roles with scoped models, tools, permissions, and execution contexts.</description>
    </item>
    <item>
      <title>任务生命周期：前台执行、超时转后台与完成通知</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/20-background-task-lifecycle</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/20-background-task-lifecycle</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude runs child agents in the foreground or as detached background tasks with status snapshots, cancellation, continuation, and TUI notifications.</description>
    </item>
    <item>
      <title>Team Lead 协作：持久成员、共享任务与运行恢复</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/21-team-lead-collaboration</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/21-team-lead-collaboration</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude models persistent teams, launches isolated in-process members, shares dependency-aware tasks, and reports member completion to the Lead.</description>
    </item>
    <item>
      <title>Mailbox 通信：文件锁、未读消息与 Agent 唤醒</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/22-mailbox-communication</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/22-mailbox-communication</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude persists per-agent mailboxes, serializes concurrent writers, injects unread messages as reminders, and wakes idle team members.</description>
    </item>
    <item>
      <title>Git Worktree 隔离：独立分支、工作目录与保守清理</title>
      <link>https://lulietlyan.github.io/topics/projects/pseudoclaude/23-git-worktree-isolation</link>
      <guid>https://lulietlyan.github.io/topics/projects/pseudoclaude/23-git-worktree-isolation</guid>
      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <description>How PseudoClaude gives agents independent Git worktrees and branches, redirects execution through per-run CWDs, and protects local changes during cleanup.</description>
    </item>
    <item>
      <title>Programming Languages</title>
      <link>https://lulietlyan.github.io/topics/programming-languages</link>
      <guid>https://lulietlyan.github.io/topics/programming-languages</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>编程语言的类型系统、执行模型、运行时、并发模型与跨语言设计取舍。</description>
    </item>
    <item>
      <title>Java、Python 和 Go 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/programming-languages/java-python-go-comparison</link>
      <guid>https://lulietlyan.github.io/topics/programming-languages/java-python-go-comparison</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>从类型系统、执行方式、并发模型、内存管理、错误处理、部署和适用场景系统比较 Java、Python 与 Go。</description>
    </item>
    <item>
      <title>解释型语言和编译型语言有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/programming-languages/compiled-vs-interpreted</link>
      <guid>https://lulietlyan.github.io/topics/programming-languages/compiled-vs-interpreted</guid>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <description>从编译时机、目标代码、解释器、字节码、JIT 和 AOT 说明现代语言执行模型及常见误区。</description>
    </item>
    <item>
      <title>malloc 和 new 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/programming-languages/malloc-vs-new</link>
      <guid>https://lulietlyan.github.io/topics/programming-languages/malloc-vs-new</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>从语言归属、构造析构、失败语义、可重载性与配对释放方式对比 C 的 malloc 与 C++ 的 new。</description>
    </item>
    <item>
      <title>AI Agent</title>
      <link>https://lulietlyan.github.io/topics/ai-agent</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>LLM、VLM、RLHF、Agent、RAG 与模型评估面试问答，以及 AI 编程、Skill、MCP 和《深入理解 AI Agent》读书笔记。</description>
    </item>
    <item>
      <title>平时用什么 AI 工具？怎么看 AI 编码？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/ai-coding-tools-and-views</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/ai-coding-tools-and-views</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>从辅助边界说明常见 AI 编程工具的定位，以及审查、测试与责任仍在开发者一侧。</description>
    </item>
    <item>
      <title>Agent、Skill、MCP 分别是什么？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/skill-agent-mcp</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/skill-agent-mcp</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>用标准术语区分 Agent 循环、Skill 工作方法与 MCP 工具协议，并说明三者如何协作。</description>
    </item>
    <item>
      <title>LLM 基础与训练</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>Transformer、位置编码、解码策略、词元化、MoE 与大规模训练。</description>
    </item>
    <item>
      <title>Transformer 的自注意力机制如何工作？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/self-attention</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/self-attention</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从 Q、K、V 到缩放点积注意力，解释并行计算与长距离依赖。</description>
    </item>
    <item>
      <title>Transformer 为什么需要位置编码？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/positional-encoding</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/positional-encoding</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍位置信息的作用，对比正弦余弦编码与可学习的绝对位置编码。</description>
    </item>
    <item>
      <title>RoPE 是什么？与绝对位置编码有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/rotary-position-embedding</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/rotary-position-embedding</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理旋转位置编码的工作原理、相对位置特性与优劣势。</description>
    </item>
    <item>
      <title>MHA、MQA、GQA 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/mha-mqa-gqa</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/mha-mqa-gqa</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较注意力头的组织方式，以及模型效果、KV Cache 和推理成本的权衡。</description>
    </item>
    <item>
      <title>Encoder-Only、Decoder-Only、Encoder-Decoder 各擅长什么？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/transformer-architectures</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/transformer-architectures</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>按结构、注意力机制和任务类型比较三种 Transformer 架构。</description>
    </item>
    <item>
      <title>Scaling Laws 揭示了模型、数据与计算量的什么关系？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/scaling-laws</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/scaling-laws</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释尺度定律及其对参数规模、数据规模和训练预算分配的指导意义。</description>
    </item>
    <item>
      <title>LLM 常见的解码策略有哪些？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/decoding-strategies</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/decoding-strategies</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较贪心搜索、束搜索、Top-K 与 Top-P 采样的原理和优缺点。</description>
    </item>
    <item>
      <title>什么是词元化？BPE 和 WordPiece 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/bpe-wordpiece</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/bpe-wordpiece</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从子词切分解释词元化，并比较 BPE 与 WordPiece 的合并规则。</description>
    </item>
    <item>
      <title>NLP 与 LLM 有什么联系和区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/nlp-and-llm</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/nlp-and-llm</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从研究范围、技术范式、数据需求与应用方式理解 NLP 和 LLM 的关系。</description>
    </item>
    <item>
      <title>L1 和 L2 正则化分别适合什么场景？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/l1-l2-regularization</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/l1-l2-regularization</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释两种正则化的惩罚项，以及稀疏化、特征选择和泛化能力的权衡。</description>
    </item>
    <item>
      <title>如何理解大模型的涌现能力？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/emergent-abilities</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/emergent-abilities</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理涌现能力的含义、典型表现及原材料对模型规模的讨论。</description>
    </item>
    <item>
      <title>LLM 常用哪些激活函数？为什么选择它们？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/activation-functions</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/activation-functions</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍非线性的作用，以及 GeLU、SwiGLU 的原理和使用动机。</description>
    </item>
    <item>
      <title>MoE 如何扩大参数量并控制推理计算量？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/mixture-of-experts</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/mixture-of-experts</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍专家网络、路由器、Top-K 稀疏激活与加权输出。</description>
    </item>
    <item>
      <title>训练百亿、千亿参数 LLM 有哪些挑战？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/large-scale-training</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/large-scale-training</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理显存、分布式通信、训练稳定性等挑战及相应的工程手段。</description>
    </item>
    <item>
      <title>了解哪些大模型开源框架？如何讨论 Qwen 与 DeepSeek？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/open-source-frameworks</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/open-source-frameworks</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理训练、模型生态与推理框架，并保留 Qwen、DeepSeek 的论文阅读提示。</description>
    </item>
    <item>
      <title>面试时如何介绍读过的 LLM 前沿论文？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/llm/frontier-paper-discussion</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/llm/frontier-paper-discussion</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>保留原材料的开放题提示，围绕问题、方法和对比实验组织论文介绍。</description>
    </item>
    <item>
      <title>VLM 多模态模型</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>视觉语言对齐、CLIP、视觉指令微调、视频理解与多模态应用。</description>
    </item>
    <item>
      <title>VLM 如何实现视觉与语言的对齐和融合？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/multimodal-alignment</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/multimodal-alignment</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从模态鸿沟出发，整理多模态表示对齐与信息融合的主要思路。</description>
    </item>
    <item>
      <title>CLIP 如何通过对比学习连接图像和文本？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/clip-contrastive-learning</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/clip-contrastive-learning</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍双编码器、图文配对、对比学习目标与零样本应用。</description>
    </item>
    <item>
      <title>LLaVA 和 MiniGPT-4 如何连接视觉编码器与 LLM？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/vision-language-connectors</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/vision-language-connectors</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍视觉编码器、连接器和语言模型之间的架构关系与训练过程。</description>
    </item>
    <item>
      <title>什么是视觉指令微调？为什么它很关键？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/visual-instruction-tuning</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/visual-instruction-tuning</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释视觉指令数据、训练目标及其对对话和指令遵循能力的作用。</description>
    </item>
    <item>
      <title>相比静态图片，VLM 处理视频要解决哪些问题？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/video-understanding</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/video-understanding</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理时序建模、帧间信息、计算开销与长视频理解的挑战。</description>
    </item>
    <item>
      <title>什么是视觉 Grounding？如何评估定位能力？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/visual-grounding</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/visual-grounding</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍文本与图像区域的对应关系，以及定位任务和评估指标。</description>
    </item>
    <item>
      <title>不同 VLM 架构范式有哪些优劣？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/vlm-architectures</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/vlm-architectures</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>按原材料对比连接器与跨模态注意力范式的结构、优势和代价。</description>
    </item>
    <item>
      <title>VLM 如何处理高分辨率图像？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/high-resolution-images</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/high-resolution-images</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理图像切块、动态分辨率等思路及视觉细节与计算量之间的权衡。</description>
    </item>
    <item>
      <title>VLM 的幻觉与纯文本 LLM 有何不同？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/visual-hallucination</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/visual-hallucination</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>结合对象、属性与关系等例子，说明多模态生成中的幻觉表现。</description>
    </item>
    <item>
      <title>除了图片描述和 VQA，VLM 还有哪些应用方向？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/vlm-applications</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/vlm-applications</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理多模态模型在具身智能、文档理解及其他场景中的应用潜力。</description>
    </item>
    <item>
      <title>如何介绍 VLM 微调项目与模型选型？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/vlm/vlm-finetuning-experience</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/vlm/vlm-finetuning-experience</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>以原材料中的工业质检回答范例，梳理模型选择、数据准备、微调与评估。</description>
    </item>
    <item>
      <title>RLHF 与模型对齐</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>SFT、奖励模型、PPO、DPO、GRPO、信用分配与 AI 反馈对齐。</description>
    </item>
    <item>
      <title>为什么只有 SFT 还不足以实现对齐？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/rlhf-versus-sft</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/rlhf-versus-sft</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释模仿示范与学习偏好的差异，以及 RLHF 希望解决的问题。</description>
    </item>
    <item>
      <title>经典 RLHF 流程的三个阶段分别是什么？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/rlhf-pipeline</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/rlhf-pipeline</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>按输入、输出和目标梳理监督微调、奖励模型训练与策略优化。</description>
    </item>
    <item>
      <title>奖励模型为什么常用成对偏好数据？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/pairwise-preferences</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/pairwise-preferences</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较相对偏好与绝对评分的标注优势、信息损失和偏差来源。</description>
    </item>
    <item>
      <title>奖励模型如何设计和训练？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/reward-model</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/reward-model</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍模型架构、与策略模型的关系及 Bradley-Terry 偏好损失。</description>
    </item>
    <item>
      <title>RLHF 为什么使用 PPO？KL 惩罚起什么作用？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/ppo-and-kl-penalty</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/ppo-and-kl-penalty</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理 PPO 的稳定性考虑、与其他算法的比较及 KL 约束的作用。</description>
    </item>
    <item>
      <title>PPO 的 KL 惩罚系数过大或过小会怎样？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/kl-coefficient-tuning</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/kl-coefficient-tuning</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>讨论对齐收益与策略偏移的平衡，以及监控指标和系数调整方法。</description>
    </item>
    <item>
      <title>什么是奖励作弊？如何缓解？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/reward-hacking</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/reward-hacking</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>通过应用场景说明奖励代理被利用的问题，并整理缓解策略。</description>
    </item>
    <item>
      <title>DPO 的核心思想是什么？与 PPO 式 RLHF 有何区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/direct-preference-optimization</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/direct-preference-optimization</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较直接偏好优化与传统 RLHF 的流程、组件、训练复杂度和成本。</description>
    </item>
    <item>
      <title>奖励分数很高，为什么上线后回答却模式化、奉承？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/alignment-failure-analysis</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/alignment-failure-analysis</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从奖励模型、偏好数据与训练过程分析对齐失效及改进方向。</description>
    </item>
    <item>
      <title>GRPO 与 PPO 有什么区别和优劣？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/grpo-versus-ppo</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/grpo-versus-ppo</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>保留原材料关于 GRPO 的论文阅读提示；原文未提供具体比较答案。</description>
    </item>
    <item>
      <title>GSPO、DAPO 与 GRPO 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/gspo-dapo-grpo</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/gspo-dapo-grpo</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>保留原材料的前沿算法阅读提示；原文未展开三种算法的比较。</description>
    </item>
    <item>
      <title>如何解决信用分配？Token 级和序列级奖励有何不同？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/credit-assignment</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/credit-assignment</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理奖励归因问题，以及不同奖励粒度对训练信号的影响。</description>
    </item>
    <item>
      <title>什么是 RLAIF？它有哪些潜力和风险？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rlhf/rlaif</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rlhf/rlaif</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍使用 AI 反馈进行对齐的流程、扩展性与潜在偏差。</description>
    </item>
    <item>
      <title>Agent 架构与工程</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>Agent 组件、ReAct、规划、记忆、工具调用、多智能体协作与微调。</description>
    </item>
    <item>
      <title>什么是基于 LLM 的 Agent？核心组件有哪些？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-components</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-components</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从感知、规划、记忆与工具使用等模块理解智能体的运行方式。</description>
    </item>
    <item>
      <title>ReAct 如何结合推理与行动完成复杂任务？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/react</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/react</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>通过思考、行动、观察的循环介绍 ReAct 框架及其工作流程。</description>
    </item>
    <item>
      <title>如何赋予 LLM Agent 规划能力？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-planning</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-planning</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理 CoT、ToT、GoT 等规划思路及任务分解方法。</description>
    </item>
    <item>
      <title>如何设计 Agent 的短期记忆和长期记忆？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-memory</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-memory</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较上下文、摘要、向量数据库等记忆机制及其用途。</description>
    </item>
    <item>
      <title>LLM 如何学会调用外部 API 和工具？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/tool-use-function-calling</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/tool-use-function-calling</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从 Function Calling 解释工具描述、参数生成、调用执行与结果反馈。</description>
    </item>
    <item>
      <title>LangChain 与 LlamaIndex 的核心场景有什么不同？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/langchain-versus-llamaindex</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/langchain-versus-llamaindex</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>按原材料比较逻辑编排与数据检索两类开发需求及框架特点。</description>
    </item>
    <item>
      <title>构建复杂 Agent 的主要挑战是什么？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-engineering-challenges</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-engineering-challenges</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理规划可靠性、工具调用、上下文管理、评估和安全等工程问题。</description>
    </item>
    <item>
      <title>多智能体协作有哪些优势和新复杂性？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/multi-agent-systems</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/multi-agent-systems</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较单 Agent 与多 Agent 的分工、协作、通信成本和协调难题。</description>
    </item>
    <item>
      <title>具身 Agent 与纯软件工具 Agent 有何区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/embodied-agents</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/embodied-agents</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从感知、行动空间、环境动态与反馈解释机器人和游戏中的智能体。</description>
    </item>
    <item>
      <title>如何让 Agent 安全、可控并符合人类意图？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-safety-alignment</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-safety-alignment</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理模型对齐、权限约束、人类监督、环境隔离与审计机制。</description>
    </item>
    <item>
      <title>A2A 与普通 Agent 框架最关键的区别是什么？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/a2a-protocol</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/a2a-protocol</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从个体实现与跨 Agent 交互标准的侧重点解释 A2A。</description>
    </item>
    <item>
      <title>如何介绍 Agent 框架选型和场景评价指标？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-framework-selection</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-framework-selection</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>保留选型回答范例，围绕任务成功率、过程效率和鲁棒性组织回答。</description>
    </item>
    <item>
      <title>如何微调 Agent 能力？训练数据从哪里来？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/agent/agent-finetuning-data</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/agent/agent-finetuning-data</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理决策轨迹与教师模型合成数据，并保留人工和真实交互数据的提纲。</description>
    </item>
    <item>
      <title>RAG 检索增强生成</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>知识库构建、切块、嵌入、检索优化、知识图谱、评估与部署。</description>
    </item>
    <item>
      <title>RAG 如何工作？相比微调解决了什么问题？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/rag-versus-finetuning</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/rag-versus-finetuning</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍检索增强生成的基本流程，以及知识更新、可追溯性与成本优势。</description>
    </item>
    <item>
      <title>完整的 RAG 流水线包含哪些步骤？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/rag-pipeline</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/rag-pipeline</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从离线数据准备、索引构建到在线检索、提示组装和生成逐步梳理。</description>
    </item>
    <item>
      <title>RAG 如何选择切块大小与重叠长度？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/chunking-strategies</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/chunking-strategies</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>讨论语义完整性、检索精度、上下文容量与索引成本的权衡。</description>
    </item>
    <item>
      <title>如何选择和评估 Embedding 模型？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/embedding-model-selection</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/embedding-model-selection</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从任务匹配、语言领域、检索指标和部署开销整理嵌入模型选型。</description>
    </item>
    <item>
      <title>有哪些技术可以提升 RAG 检索质量？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/retrieval-improvements</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/retrieval-improvements</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理混合检索、重排序、查询改写及其他检索优化手段。</description>
    </item>
    <item>
      <title>什么是 Lost in the Middle？如何缓解？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/lost-in-the-middle</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/lost-in-the-middle</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>解释长上下文中间信息利用不足的现象及 RAG 中的应对方法。</description>
    </item>
    <item>
      <title>如何全面评估 RAG 系统？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/rag-evaluation</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/rag-evaluation</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>分别整理检索质量、生成质量与系统整体表现的评估指标。</description>
    </item>
    <item>
      <title>什么时候应使用知识图谱增强 RAG？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/knowledge-graph-retrieval</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/knowledge-graph-retrieval</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>围绕结构化关系、多跳推理和可解释查询讨论图检索的适用场景。</description>
    </item>
    <item>
      <title>什么是多次检索和自适应 RAG？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/adaptive-iterative-rag</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/adaptive-iterative-rag</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍迭代检索、自适应检索等超出单次检索生成流程的范式。</description>
    </item>
    <item>
      <title>RAG 在实际部署中面临哪些挑战？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/rag-deployment-challenges</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/rag-deployment-challenges</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理数据质量、知识更新、检索效果、延迟成本与运维问题。</description>
    </item>
    <item>
      <title>搜索系统与 RAG 有什么区别？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/search-versus-rag</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/search-versus-rag</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从目标、输出、系统流程和评估方式比较搜索与检索增强生成。</description>
    </item>
    <item>
      <title>RAGFlow 等开源 RAG 框架应如何选型？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/rag/rag-framework-selection</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/rag/rag-framework-selection</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>按原材料整理 RAGFlow、Haystack、DSPy 等工具及场景选择思路。</description>
    </item>
    <item>
      <title>模型与 Agent 评估</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation</guid>
      <pubDate>Sat, 17 Oct 2026 17:48:29 GMT</pubDate>
      <description>LLM 基准、模型裁判、Agent 过程指标、红队测试、人工评估与线上监控。</description>
    </item>
    <item>
      <title>为什么 BLEU、ROUGE 难以全面评估 LLM？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/bleu-rouge-limitations</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/bleu-rouge-limitations</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>讨论词面重合指标在语义、开放生成、事实性和推理评估上的局限。</description>
    </item>
    <item>
      <title>常见 LLM 综合基准各自侧重什么？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/llm-benchmarks</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/llm-benchmarks</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍 MMLU、Big-Bench、HumanEval 等基准及其评估重点。</description>
    </item>
    <item>
      <title>什么是 LLM-as-a-Judge？有哪些优势与偏见？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/llm-as-a-judge</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/llm-as-a-judge</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理模型裁判的使用方式、规模化优势及位置、长度和自偏好等问题。</description>
    </item>
    <item>
      <title>如何评估 LLM 的事实性、推理能力与安全性？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/capability-evaluation</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/capability-evaluation</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>按能力定义、数据集构建和评估方法梳理专项评估方案。</description>
    </item>
    <item>
      <title>为什么评估 Agent 比评估基础 LLM 更复杂？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/agent-versus-llm-evaluation</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/agent-versus-llm-evaluation</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>比较单轮文本质量与多步环境交互的评估维度及复现难度。</description>
    </item>
    <item>
      <title>有哪些专门评估 Agent 能力的基准？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/agent-benchmarks</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/agent-benchmarks</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理 Agent 基准中的任务、交互环境与能力覆盖方式。</description>
    </item>
    <item>
      <title>除了任务成功率，还应关注哪些 Agent 过程指标？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/agent-process-metrics</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/agent-process-metrics</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍执行效率、成本、鲁棒性与其他过程指标的评估价值。</description>
    </item>
    <item>
      <title>什么是红队测试？如何发现 LLM 与 Agent 的漏洞？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/red-teaming</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/red-teaming</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>整理对抗测试的目标、攻击角度以及发现安全问题和偏见的作用。</description>
    </item>
    <item>
      <title>如何保证人工评估的客观性与一致性？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/human-evaluation</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/human-evaluation</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>介绍评分准则、标注流程、一致性检查和质量控制方法。</description>
    </item>
    <item>
      <title>如何持续监控线上 LLM 与 Agent 的表现？</title>
      <link>https://lulietlyan.github.io/topics/ai-agent/evaluation/production-monitoring</link>
      <guid>https://lulietlyan.github.io/topics/ai-agent/evaluation/production-monitoring</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>从日志、质量监控、人工分析到反馈迭代构建持续评估流程。</description>
    </item>
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